Regional Clustering in the Digital Economy

The article focuses on the advancement of theory and methodology to develop a qualitatively new model of the regional clusters’ improvement using digital technologies. New conditions of the economy transformation define the model’s relevance. The study provides a scientific basis for the regional cl...

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Main Authors: Olga Gensanovna Charykova, Ekaterina Sergeevna Markova
Format: Article
Language:English
Published: Russian Academy of Sciences, Institute of Economics of the Ural Branch 2019-06-01
Series:Экономика региона
Subjects:
Online Access:http://www.economyofregion.com/data/jarticles/3167.pdf
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author Olga Gensanovna Charykova
Ekaterina Sergeevna Markova
author_facet Olga Gensanovna Charykova
Ekaterina Sergeevna Markova
author_sort Olga Gensanovna Charykova
collection DOAJ
description The article focuses on the advancement of theory and methodology to develop a qualitatively new model of the regional clusters’ improvement using digital technologies. New conditions of the economy transformation define the model’s relevance. The study provides a scientific basis for the regional clusters’ formation in the context of the economy’s digitalization. For this purpose, we applied general scientific methodology using system and dialectic methods, deductions, decomposition, the economic analysis and synthesis. In addition, our methodological toolkit includes mathematical methods of statistical data’s processing. As a technique for analysing the region’s cluster development, we used the Difference in difference method (DiD) that allows assessing the effect of clustering as a difference of the results prior and after cluster’s formation. We tested our methodology on the example of the Lipetsk region, where the regional clustering is actively implemented thus implying the need for its improvement. In accordance with the offered model, we suggest to control cluster interactions by means of a virtual business environment in a form of the organizational platform with a multidimensional network architecture. Based on this model we developed a mechanism of interaction of the cluster participants in the course of organizing the region’s social and economic space. This mechanism suggests creating virtual platforms in the spheres of mutual interests and joint activity between the cluster’s participants (with a possibility of creating cooperative start-ups or venture enterprises). The developed conceptual model of regional clusters can be applied for the strategic development of «The valley of mechanical engineering» cluster. Further research can focus on the systems analysis of all clusters and their influence on the organization of the region’s social and economic space.
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spelling doaj.art-da6b50d33b6e42e7b853ed856f48e76d2023-09-02T15:55:08ZengRussian Academy of Sciences, Institute of Economics of the Ural BranchЭкономика региона2072-64142411-14062019-06-0115240941910.17059/2019-2-8Regional Clustering in the Digital EconomyOlga Gensanovna Charykova0Ekaterina Sergeevna Markova 1Scientific-Research Institute of Economics and Organization of Agro-Industrial Complex of the Central Black Earth region of the Russian Federation Lipetsk State Technical University The article focuses on the advancement of theory and methodology to develop a qualitatively new model of the regional clusters’ improvement using digital technologies. New conditions of the economy transformation define the model’s relevance. The study provides a scientific basis for the regional clusters’ formation in the context of the economy’s digitalization. For this purpose, we applied general scientific methodology using system and dialectic methods, deductions, decomposition, the economic analysis and synthesis. In addition, our methodological toolkit includes mathematical methods of statistical data’s processing. As a technique for analysing the region’s cluster development, we used the Difference in difference method (DiD) that allows assessing the effect of clustering as a difference of the results prior and after cluster’s formation. We tested our methodology on the example of the Lipetsk region, where the regional clustering is actively implemented thus implying the need for its improvement. In accordance with the offered model, we suggest to control cluster interactions by means of a virtual business environment in a form of the organizational platform with a multidimensional network architecture. Based on this model we developed a mechanism of interaction of the cluster participants in the course of organizing the region’s social and economic space. This mechanism suggests creating virtual platforms in the spheres of mutual interests and joint activity between the cluster’s participants (with a possibility of creating cooperative start-ups or venture enterprises). The developed conceptual model of regional clusters can be applied for the strategic development of «The valley of mechanical engineering» cluster. Further research can focus on the systems analysis of all clusters and their influence on the organization of the region’s social and economic space.http://www.economyofregion.com/data/jarticles/3167.pdfregional economyeconomy digitalizationeconomy transformationsocial and economic area of a regiondigital technologiesregional clusterclusteringmodelmethodinnovationscompetences
spellingShingle Olga Gensanovna Charykova
Ekaterina Sergeevna Markova
Regional Clustering in the Digital Economy
Экономика региона
regional economy
economy digitalization
economy transformation
social and economic area of a region
digital technologies
regional cluster
clustering
model
method
innovations
competences
title Regional Clustering in the Digital Economy
title_full Regional Clustering in the Digital Economy
title_fullStr Regional Clustering in the Digital Economy
title_full_unstemmed Regional Clustering in the Digital Economy
title_short Regional Clustering in the Digital Economy
title_sort regional clustering in the digital economy
topic regional economy
economy digitalization
economy transformation
social and economic area of a region
digital technologies
regional cluster
clustering
model
method
innovations
competences
url http://www.economyofregion.com/data/jarticles/3167.pdf
work_keys_str_mv AT olgagensanovnacharykova regionalclusteringinthedigitaleconomy
AT ekaterinasergeevnamarkova regionalclusteringinthedigitaleconomy